Background Automated brain tumor identification facilitates diagnosis and treatment
planning. We evaluate the performance of traditional machine learning (TML) and deep …

Brain tumors are considered as most fatal cancers. To reduce the risk of death, early
identification of the disease is required. One of the best available methods to evaluate brain …

Brain tumors are one of the most dangerous medical conditions. The dispersed extremities
and nonuniform structure of the tumors are the basis of why techniques of traditional …

Predictive analytics and medical diagnostics are two of the most important fields of study that
have a lot of room for growth. Today, the COVID-19 virus has a huge impact, but it changes a …

Future treatment planning based on brain imaging are planned using MRI images [1–3] to
diagnose the patient. Conventional method for tumor detection in MRI images is a …

A fingerprint is created by the ridges on a person's finger that create friction and create an
impression. A crucial forensic science process is the partial recovery of fingerprints from a …

Background. Automated brain tumor identification facilitates diagnosis and treatment
planning. We evaluate the performance of traditional machine learning (TML) and deep …

An algorithm is executed on digital images using a digital computer as part of digital image
processing. Digital image processing offers various benefits over analogue image …